ArticleInternational journal of environmental research and public health2020
Stroke to Dementia Associated with Environmental Risks-A Semi-Markov Model.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Brain health: a new concept to the neurologist - an initiative of the Lifestyle Medicine Commission of the Brazilian Academy of Neurology.Arquivos de neuro-psiquiatria · 2025Review
- Big Data, Decision Models, and Public Health.International journal of environmental research and public health · 2022Article
- How Is the Lung Cancer Incidence Rate Associated with Environmental Risks? Machine-Learning-Based Modeling and Benchmarking.International journal of environmental research and public health · 2022Article
- Big Data, Decision Models, and Public Health.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost stroke cases lead to serious mental and physical disabilities, such as dementia and sensory impairment. Chronic diseases are contributory risk factors for stroke. However, few studies considered the transition behaviors of stroke to dementia associated with chronic diseases and environmental risks.
objectiveThis study aims to develop a prognosis model to address the issue of stroke transitioning to dementia associated with environmental risks.
designThis cohort study used the data from the National Health Insurance Research Database in Taiwan.
settingHealthcare data were obtained from more than 25 million enrollees and covered over 99% of Taiwan's entire population.
participantsIn this study, 10,627 stroke patients diagnosed from 2000 to 2010 in Taiwan were surveyed.
methodsA Cox regression model and corresponding semi-Markov process were constructed to evaluate the influence of risk factors on stroke, corresponding dementia, and their transition behaviors.
main outcome measureRelative risk and sojourn time were the main outcome measure.
resultsMultivariate analysis showed that certain environmental risks, medication, and rehabilitation factors highly influenced the transition of stroke from a chronic disease to dementia. This study also highlighted the high-risk populations of stroke patients against the environmental risk factors; the males below 65 years old were the most sensitive population.
conclusionExperiments showed that the proposed semi-Markovian model outperformed other benchmark diagnosis algorithms (i.e., linear regression, decision tree, random forest, and support vector machine), with a high
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